MESSAI.iO

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75% confidence

This study investigates the relationship between soil moisture and electrical power generation in a rice-based plant-Microbial Fuel Cell (MFC) system. Using simple linear regression, the research demonstrates that soil moisture is the primary driver of power output, with a model explaining 99.4% of the variability.

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What they did

System
MFC

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Abstract

The global energy crisis and demand for environmentally friendly energy have driven the development of alternative bioelectrochemical technologies, such as the microbial fuel cell (MFC). This study analyses the effect of soil moisture on the electrical power generated by the MFC system. The research was conducted at Trensains Muhammal High School in Sragen from September to October 2025, using simple linear regression analysis. The analysis shows a regression equation of Y = 1.83 + 0.82X with a coefficient of determination (R²) of 0.994, indicating that 99.4% of the electrical power variability is explained by changes in soil moisture. The regression model was declared valid based on the F test (Fcount = 1258.7; p < 0.05), t test (tcount = 35.48; p < 0.05), and classical assumption tests (p > 0.05). The MFC system can produce 38.2 mW on an area of 100 cm², which is sufficient to power low-power devices. This technology has significant potential for use in sustainable agriculture and achieving SDGs 7 and 13.

Key findings

  • The regression equation Y = 1.83 + 0.82X indicates a strong positive correlation between soil moisture and electrical power generation.
  • The MFC system successfully produced 38.2 mW on a 100 cm² area, sufficient to power low-energy devices.
  • Statistical tests (F-test and t-test) confirmed the model's validity with p-values less than 0.05.

Keywords

Linear regressionRegression analysisSimple linear regressionElectric powerElectric potential energyAgricultural engineering

Identifiers

DOI
10.64477/501491-498
Journal
Jurnal Integrasi Sains dan Qur'an (JISQu)
Year
2026